def test_FmriRealign4d_inputs():
    input_map = dict(between_loops=dict(usedefault=True,
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    in_file=dict(mandatory=True,
    ),
    loops=dict(usedefault=True,
    ),
    slice_order=dict(requires=['time_interp'],
    ),
    speedup=dict(usedefault=True,
    ),
    start=dict(usedefault=True,
    ),
    time_interp=dict(requires=['slice_order'],
    ),
    tr=dict(mandatory=True,
    ),
    tr_slices=dict(requires=['time_interp'],
    ),
    )
    inputs = FmriRealign4d.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
示例#2
0
 def __init__(self, in_file=['path'], tr=1.0, **options):
     from nipype.interfaces.nipy.preprocess import FmriRealign4d
     realigner = FmriRealign4d()
     realigner.inputs.in_file = in_file
     realigner.inputs.tr = tr
     for ef in options:
         setattr(realigner.inputs, ef, options[ef])
     self.res = realigner.run()
def test_FmriRealign4d_outputs():
    output_map = dict(out_file=dict(),
    par_file=dict(),
    )
    outputs = FmriRealign4d.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_FmriRealign4d_outputs():
    output_map = dict(
        out_file=dict(),
        par_file=dict(),
    )
    outputs = FmriRealign4d.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_FmriRealign4d_inputs():
    input_map = dict(
        between_loops=dict(usedefault=True, ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        in_file=dict(mandatory=True, ),
        loops=dict(usedefault=True, ),
        slice_order=dict(requires=['time_interp'], ),
        speedup=dict(usedefault=True, ),
        start=dict(usedefault=True, ),
        time_interp=dict(requires=['slice_order'], ),
        tr=dict(mandatory=True, ),
        tr_slices=dict(requires=['time_interp'], ),
    )
    inputs = FmriRealign4d.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value